*Corresponding author email: rierac7@gmail.com Symbiosis Group Symbiosis Group Symbiosis ISSN Online: 2573-864X www.symbiosisonline.org www.symbiosisonlinepublishing.com Usefulness of STS-Renal and ACEF scores as predictive models for acute kidney injury after cardiac surgery in UMAE Cardiology Hospital-CMN IMSS Mexico Nalleli Adriana Pérez-Rubio 1 , Alberto Ramírez Castañeda 1 , Martin Rosas-Peralta 2 , Gabriela Borrayo-Sánchez 2 , Jaime Salgado Vázquez 1 , Carolina Álvarez Moreno 1 , Lucelli Yañes Gutierrez 3 , Horacio Márquez González 3 , Luis Zúñiga- Alanís 1 , and Carlos Riera-Kinkel 1* 1 Division of Cardiothoracic surgery, Cardiology Hospital XXI century, Instituto Mexicano Del Seguro Social, Mexico, CDMX, Mexico 2 “A todo corazón-Código Infarto” program, National Medical Center XXI Century, IMSS, CDMX, México 3 Congenital Heart Disease department, Cardiology Hospital XXI century, Instituto Mexicano Del Seguro Social, Mexico, CDMX, Mexico American Journal of Cardiovascular and Thoracic Surgery Open Access Research article Abstract Objective: To Evaluate the STS-renal and ACEF scores which are short-Term Risk Calculators for developing renal failure in patients after cardiac surgery at a unique 3rd level Medical Center in Mexico City. Methods: We conducted a retrospective study, consecutive patients between August 1st 2015 and July 31st 2016 were included. We applied the STS-renal and ACEF scores as predictive methods for acute kidney injury (AKI) after cardiac surgery with cardiopulmonary bypass. Results: They were 525 patients who met the inclusion criteria. Arose kidney injury in 135 (25.5%) of the patients. We found that age, time of aortic clamping, pre-operative creatinine, hypertension and complexity of the procedure level are the principal risk factors for kidney injury, and as a consequence, we observed a correlation among the severity of kidney injury and increases of the hospital stay and mortality. 26(5%) patients died, six of them directly attributable to kidney injury. Conclusions: We assessed two risk scores to predict early kidney injury after cardiac surgery. We found as the most applicable to our population the STS-kidney short term risk calculator. The use of this kind of risk calculators should be applied routinely in México. Key words: Cardiac Surgery; Kidney Injury; ACEF; STS Received: November 21, 2018; Accepted: December 03, 2018; Published: December 05, 2018 *Corresponding author: Carlos Riera Kinkel, Head of Cardiac Surgery Division, Hospital de Cardio logia, Centro Medico National Siglo XXI, IMSS, Cuauhtémoc 330, Col Doctors, Deleg Cuauhtémoc, CP 06720, México, D F, México; Phone: (+52) 56276927; E-mail id: rierac7@gmail.com Introduction Postoperative kidney injury after Cardiac surgery is a complication which increases mortality and hospital stay. American Society of thoracic surgery defines acute kidney injury after surgery as the increase of serum creatinine 2 mg/dL or twice the preoperative value, or new requirement of haemodialysis. [1] Several short term risk calculators to predict kidney injury after cardiac surgery have been developed; however, they are focused on the prediction of dialysis requirement and/or severe kidney injury. Nevertheless, the prediction of mild and moderate kidney injury is also important. Birnie et al., [2] conducted an analysis of about 30,000 patients undergoing cardiac surgery in three hospitals in the United Kingdom, and they developing a model for short risk prediction of all stages of kidney injury, and it was useful for slight and severe types of kidney injury. Most commonly used risk models include the Score of the American Society of Thoracic Surgeons (STS), published in 2008, and the Age, Creatinine and Ejection Fraction (ACEF) score, published at 2009. For those patients undergoing bypass surgery the STS score has been reported more accurately to predict the risk of post-surgical dialysis requirement, however the validity of the method for predicting slight kidney injury or requirement for dialysis is not weak. [3] It is assumed a greater accuracy of the ACEF score for the prediction of kidney injury with minimum requirements for replacement therapy. The predictive models in cardiac surgery have been developed from certain population groups, in a defined period of time, and taking into account certain variables selected previously. Therefore, there is doubt of their applicability to different population groups or another point in time. Kidney injury is a complication of cardiac surgery that becomes present in ~30% of patients and as a consequence it increases either mortality or hospital stay, and as a result increased costs for the institution. Detection of kidney injury in its early stages, yet more identifies patients at high risk, is important to provide correctly early treatment and therefore, decrease mortality and hospital stay. For this reason, it is essential to establish a predictive method applicable to our population. Considering the above, it was decided to conduct this study to validate predictive methods already established, such as STS- kidney and the ACEF score for the presentation of acute kidney injury in our population of patients undergoing cardiac surgery.